bart-large-cnn-finetune

This model is a fine-tuned version of facebook/bart-large-cnn on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.5677
• Rouge1: 9.9893
• Rouge2: 5.2818
• Rougel: 9.7766
• Rougelsum: 9.7951
• Gen Len: 58.1672

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 2e-05
• train_batch_size: 1
• eval_batch_size: 1
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
0.2639	1.0	4774	1.5677	9.9893	5.2818	9.7766	9.7951	58.1672

Framework versions

• Transformers 4.24.0
• Pytorch 1.13.0+cu116
• Datasets 2.7.0
• Tokenizers 0.13.2